Home / Journals Mathematics and Computer Science / Machine Learning, Artificial Intelligence and Data Sciences for Securing Information System
Machine Learning, Artificial Intelligence and Data Sciences for Securing Information System
Submission DeadlineFeb. 25, 2020

Submission Guidelines: http://www.sciencepublishinggroup.com/home/submission

Lead Guest Editor
Arshad Ahmad Khan Mohammad
Department of Computer Science and Engineering, GITAM University, Hyderabad, India
Guest Editors
  • Amairullah khan Lodhi
    Department of Electronics and Communication Engineering, SHADAN College of Engineering and Technology, Hyderabad, India
  • Syed Abdul Sattar
    Department of Electronics and Communication Engineering, Nawab Shah Alam Khan College of Engineering & Technology, Hyderabad, India
  • Mohammed Ali Hussain
    Department of Electronics and Computer Science Engineering, K L University, Guntur, India
  • Abdul Bari
    Department of Computer Science and Engineering, ISL Engineering College, Hyderabad, India
  • Mazher Khan
    Department of Electronics & Telecommunication Engineering, Maharashtra Institute of Technology, Aurangabad, India
  • Abdul Razzak
    Department of Electronics and Communication Engineering, Innovative Technologies, Hyderabad, India
  • Arif Mohammad Abdul
    Department of Computer Science and Engineering, GITAM University, Hyderabad, India
  • Raj Mohammed Mohd
    Department of Computer Science and Engineering, GITAM University, Hyderabad, India
  • Shaista Sabir
    Department of Computer and Software Engineering, College of Electric and Mechanical Engineering, National University of Science and Technology, Sialkot, Pakistan
  • Somdip Dey
    School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
  • Khalil ur Rehman
    College of Software Engineering, Beijing University of Technology, Beijing, China
  • Mohamad Zamini
    Department of IT, Tarbiat Modares University, Tehran, Iran
  • Masood Ahmad Mahammad
    Assistant Professor, Electronics and Communication Engg, GITAM Deemed To be University, Hyderabad, Telangana, India
  • Mohammad Arshad
    Mazoon College, Affiliated with Missouri University of Science and Technology (USA) and Purdue University Northwest (USA)., Muscat, Oman
  • Mohammed Mahmood Ali
    Department of Cse, Muffakham jah college of engineering & Technology (Osmania University), Hyderabad, India
Introduction
The importance of computing devices and their connectivity has become mandatory in our daily life. The connectivity of computing devices has been achieving by various networking technologies based on the applications. The security is major concern for computing devices as well as networking technologies. The suitable controls and preventions must be applied to detect and remove the security attacks. Every day new types of attacks are arising and causing the potential damage to the information system.
The technologies such as machine learning, artificial intelligence and data sciences have been used to mitigate the security attacks in the information system. However, it is important to investigate and analyze these technologies accuracy and cost for securing the information system. Moreover, the shortcoming of these technologies for securing the information system needs to be highlighted. It is therefore important to find out the success of these technologies in comparison with traditional information security mechanisms.
The special issue on machine learning, artificial intelligence and data sciences for securing information system is aimed at academic and industrial researchers to apply these technologies to secure the information system and prevent the security attacks. The key areas of this Special Issue includes, but are not limited to:
  1. Computer network and information security
  2. Machine learning and information security
  3. Artificial intelligence and information security
  4. Data sciences and information security
  5. Cyber security
Aims and Scope:
  1. Information Security
  2. Cyber Security
  3. Machine Learning
  4. Artificial Intelligence
  5. Data Sciences
  6. Intrusion Detection
Guidelines for Submission
Manuscripts should be formatted according to the guidelines for authors
(see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=247).

Please download the template to format your manuscript.

ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186